code: def delete_deployment(self, name, config=None, endpoint=None):
      if config and config.get("raiseError") == "True":
          raise RuntimeError("Error requested")
      return None
  
file_path: mlflow/tests/resources/mlflow-test-plugin/mlflow_test_plugin/fake_deployment_plugin.py
imports: import os
  from mlflow.deployments import BaseDeploymentClient, PredictionsResponse
label_desc: Use image node_id 2 for calling the PluginDeploymentClient obj's underlying member method code with example usage: obj.delete_deployment(name, config, endpoint) and returns: None